docs: add EverMind ecosystem overview (#259)
* docs: add EverMind ecosystem overview * docs: move ecosystem overview lower * docs: add EverOS 1.0.0 highlights * docs: streamline README flow * docs: refine README showcase layout * docs: update README banner image * docs: use uploaded README banner * docs: expand README highlights and navigation * docs: normalize README title capitalization * docs: align EverOS description with banner * docs: use high-density README banner * docs: clarify EverOS overview * docs: add README localization and star history * docs: expand Chinese README localization
This commit is contained in:
Elliot Chen
338
README.md
338
README.md
@ -1,6 +1,6 @@
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<div align="center" id="readme-top">
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<p align="center">
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<a href="https://x.com/evermind"><img src="https://img.shields.io/badge/EverMind-000000?labelColor=gray&style=for-the-badge&logo=x&logoColor=white" alt="X"></a>
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@ -9,27 +9,29 @@
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<a href="https://github.com/EverMind-AI/EverOS/discussions/67"><img src="https://img.shields.io/badge/WeCom-EverMind_社区-07C160?labelColor=gray&style=for-the-badge&logo=wechat&logoColor=white" alt="WeChat"></a>
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</p>
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[Website](https://evermind.ai) · [Documentation](https://docs.evermind.ai) · [Blog](https://evermind.ai/blogs)
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[Website](https://evermind.ai) · [Documentation](https://docs.evermind.ai) · [Blog](https://evermind.ai/blogs) · [中文](README.zh-CN.md)
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</div>
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<br>
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<details open>
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<details>
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<summary><kbd>Table of Contents</kbd></summary>
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<br>
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- [What is EverOS](#what-is-everos)
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- [Architecture at a glance](#architecture-at-a-glance)
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- [Quick start](#quick-start)
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- [Storage layout](#storage-layout)
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- [EverOS 1.0.0 Highlights](#everos-100-highlights)
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- [What Is EverOS](#what-is-everos)
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- [Quick Start](#quick-start)
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- [Architecture At A Glance](#architecture-at-a-glance)
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- [Storage Layout](#storage-layout)
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- [Features](#features)
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- [Project structure](#project-structure)
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- [Project Structure](#project-structure)
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- [Documentation](#documentation)
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- [Use Cases](#use-cases)
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- [Stay Tuned](#stay-tuned)
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- [EverMind Ecosystems](#evermind-ecosystems)
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- [Contributing](#contributing)
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<br>
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@ -37,48 +39,131 @@
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</details>
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## What is EverOS
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## EverOS 1.0.0 Highlights
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EverOS is an open-source Python framework that turns conversations, agent trajectories, and files into **structured, retrievable, evolving long-term memory** for AI agents and user chats. Designed for **lightweight local deployments** (small teams, individual developers), with three core principles:
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> [!IMPORTANT]
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>
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> **EverOS 1.0.0 is a major release for self-evolving memory.** It brings a
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> local-first runtime, Markdown as the source of truth, hybrid retrieval,
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> multimodal ingestion, user and agent memory scopes, and modular algorithms
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> through [EverAlgo](https://github.com/EverMind-AI/EverAlgo).
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>
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> **Watch this repository** for the next wave of memory-system work, including
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> Wiki-style knowledge layers and Dreaming for deeper offline evolution.
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1. **Markdown as Source of Truth** — All memory persists as plain `.md` files. Open, edit, grep, version with Git, view in Obsidian. No black-box database lock-in.
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2. **Lightweight three-piece storage** — `Markdown` files (truth) + `SQLite` (state/queue) + `LanceDB` (vector + BM25 + scalar). No MongoDB / Elasticsearch / Milvus / Redis / Kafka required.
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3. **[EverAlgo](https://github.com/EverMind-AI/EverAlgo) as pure algorithm library** — Memory extraction algorithms are decoupled into a separate library; this project orchestrates and persists.
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<table>
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<tr>
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<td width="33%" valign="top">
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<strong>Markdown-First Memory</strong><br>
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Memory is persisted as plain Markdown: visible, auditable, hand-editable,
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Git-friendly, and owned by the user.
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</td>
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<td width="33%" valign="top">
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<strong>Lightweight Local Stack</strong><br>
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Install with Python. SQLite tracks runtime state; LanceDB powers vector,
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BM25, and scalar-filter retrieval locally.
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</td>
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<td width="33%" valign="top">
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<strong>Layered Memory Model</strong><br>
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User memory and agent memory are first-class today. Wiki-style knowledge
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is the next layer in the roadmap.
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</td>
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</tr>
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<tr>
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<td width="33%" valign="top">
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<strong>Self-Evolving Agents</strong><br>
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Agent memory can extract reusable cases and skills from repeated
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experience, so workflows become smarter over time.
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</td>
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<td width="33%" valign="top">
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<strong>Multimodal Ingestion</strong><br>
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Text, image, audio, documents, PDF, HTML, and email can be parsed into
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memory through the optional multimodal pipeline.
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</td>
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<td width="33%" valign="top">
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<strong>Online And Offline Strategy Control</strong><br>
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Online extraction and offline evolution stay separate, with configurable
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prompts and models at each step. Dreaming is coming next.
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</td>
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</tr>
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<tr>
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<td width="33%" valign="top">
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<strong>Orthogonal Memory Scope</strong><br>
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Owner, memory type, and scope are independent: search by user, agent,
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app, project, session, and structured filters.
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</td>
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<td width="33%" valign="top">
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<strong>Progressive Disclosure</strong><br>
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Readable memory surfaces stay simple while deeper facts, cases, and
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skills remain available.
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</td>
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<td width="33%" valign="top">
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<strong>Modular By Design</strong><br>
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EverAlgo owns algorithms; EverOS owns runtime, persistence, online flows,
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and offline evolution.
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</td>
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</tr>
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</table>
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<br>
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<div align="right">
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## Architecture at a glance
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[](#readme-top)
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```
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┌───────────────────────────────────────────────┐
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│ entrypoints/ (CLI + HTTP API) │ presentation
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├───────────────────────────────────────────────┤
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│ service/ (use cases: memorize/retrieve) │ application
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├───────────────────────────────────────────────┤
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│ memory/ (extract + search + cascade) │ domain
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├───────────────────────────────────────────────┤
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│ infra/ (markdown / sqlite / lancedb) │ infrastructure
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└───────────────────────────────────────────────┘
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↑ ↑
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component/ core/
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(LLM/Embedding) (observability/lifespan)
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```
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</div>
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DDD 5 layers, single-direction dependency. See [docs/architecture.md](docs/architecture.md).
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## What Is EverOS
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EverOS is an open-source Python framework for self-evolving long-term
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memory across agents and platforms. It gives makers one portable memory
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layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes,
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and more - so context, decisions, files, and trajectories can follow the
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work instead of staying trapped in one tool.
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EverOS stores conversations, agent trajectories, and files as readable
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Markdown, then syncs local SQLite and LanceDB indexes for fast retrieval.
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Agents can reuse past cases and skills, improve from repeated workflows,
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and become more proactive over time.
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The system is built around three boundaries:
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1. **Memory content stays readable** - Markdown is the durable source of truth.
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2. **Runtime state stays local** - SQLite tracks state and LanceDB handles vector, BM25, and scalar-filter search.
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3. **Algorithms stay modular** - [EverAlgo](https://github.com/EverMind-AI/EverAlgo) owns memory algorithms; EverOS owns runtime, persistence, online flows, and offline evolution.
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<br>
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<div align="right">
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## Quick start
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[](#readme-top)
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### Install as a package
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</div>
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## Quick Start
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### 1. Install EverOS
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```bash
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uv pip install everos # or: pip install everos
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uv pip install everos
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# or: pip install everos
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```
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# Generate a starter .env (OpenRouter + DeepInfra defaults; bundled inside the wheel)
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everos init # writes ./.env (use --xdg for ~/.config/everos/.env)
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# Edit .env and fill the API key fields (see comments inside).
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### 2. Initialize Configuration
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Generate a starter `.env` file, then fill the API key fields shown in
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the generated comments.
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```bash
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everos init
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```
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`everos init` writes `./.env` by default. Use `everos init --xdg` to
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write `${XDG_CONFIG_HOME:-~/.config}/everos/.env` instead.
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### 3. Start The Server
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```bash
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everos --help
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everos server start
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```
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@ -86,10 +171,13 @@ everos server start
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`everos server start` searches for `.env` in this order: `--env-file <path>` →
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`./.env` (cwd) → `${XDG_CONFIG_HOME:-~/.config}/everos/.env` → `~/.everos/.env`.
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The endpoint stack is OpenAI-protocol compatible (OpenAI / OpenRouter / vLLM /
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Ollama / DeepInfra …) — override `*__BASE_URL` in the generated `.env` to point
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Ollama / DeepInfra) - override `*__BASE_URL` in the generated `.env` to point
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at any of them.
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#### Multi-modal (optional)
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For a step-by-step walkthrough (add a conversation, flush, search, then
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read the markdown), see [QUICKSTART.md](QUICKSTART.md).
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### Optional: Ingest Multimodal Files
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To ingest non-text content (image / pdf / audio / office documents)
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through `/api/v1/memory/add` `content` items, install the optional
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@ -118,17 +206,13 @@ brew install --cask libreoffice # macOS
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sudo apt-get install -y libreoffice # Debian / Ubuntu
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```
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For a step-by-step walkthrough (add a conversation → flush → search →
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read the markdown), see [QUICKSTART.md](QUICKSTART.md).
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### Develop locally
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### For Contributors
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```bash
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git clone https://github.com/EverMind-AI/EverOS.git
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cd EverOS
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uv sync # creates ./.venv and installs deps
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source .venv/bin/activate # — or skip activation and prefix every command with `uv run`
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source .venv/bin/activate # or prefix commands with `uv run`
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everos init # fill the four API key slots in .env (two distinct keys)
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everos --help
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@ -136,8 +220,39 @@ make test
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```
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<br>
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<div align="right">
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## Storage layout
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[](#readme-top)
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</div>
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## Architecture At A Glance
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```
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┌───────────────────────────────────────────────┐
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│ entrypoints/ (CLI + HTTP API) │ presentation
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├───────────────────────────────────────────────┤
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│ service/ (use cases: memorize/retrieve) │ application
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├───────────────────────────────────────────────┤
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│ memory/ (extract + search + cascade) │ domain
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├───────────────────────────────────────────────┤
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│ infra/ (markdown / sqlite / lancedb) │ infrastructure
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└───────────────────────────────────────────────┘
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↑ ↑
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component/ core/
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||||
(LLM/Embedding) (observability/lifespan)
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```
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DDD 5 layers, single-direction dependency. See [docs/architecture.md](docs/architecture.md).
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<br>
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<div align="right">
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[](#readme-top)
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</div>
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## Storage Layout
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```
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~/.everos/
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@ -165,6 +280,11 @@ is the user-facing memory surface, while extracted derivatives sit
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quietly alongside.
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<br>
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<div align="right">
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[](#readme-top)
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</div>
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## Features
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@ -176,8 +296,13 @@ quietly alongside.
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- **Multi-modal**: text + small image / audio inline; large media via S3/OSS reference
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<br>
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<div align="right">
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## Project structure
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[](#readme-top)
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</div>
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## Project Structure
|
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```
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everos/ # repo root
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@ -194,22 +319,36 @@ everos/ # repo root
|
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└── .claude/ # team-shared rules + skills (auto-loaded by Claude Code)
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```
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<br>
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<div align="right">
|
||||
|
||||
[](#readme-top)
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</div>
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## Documentation
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- [docs/overview.md](docs/overview.md) — Project overview & vision
|
||||
- [docs/architecture.md](docs/architecture.md) — DDD layered architecture & dependency rules
|
||||
- [docs/engineering.md](docs/engineering.md) — Engineering & dev-efficiency infrastructure (CI / tooling / Claude Code)
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- [docs/use-cases.md](docs/use-cases.md) — Full use-case gallery and integration examples
|
||||
- [docs/migration-to-1.0.0.md](docs/migration-to-1.0.0.md) — Legacy API and infrastructure migration notes
|
||||
- [CHANGELOG.md](CHANGELOG.md) — Release notes
|
||||
- [CONTRIBUTING.md](CONTRIBUTING.md) — How to contribute
|
||||
- [.claude/rules/](.claude/rules/) — Detailed coding conventions (auto-loaded by Claude Code)
|
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<br>
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<div align="right">
|
||||
|
||||
[](#readme-top)
|
||||
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</div>
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## Use Cases
|
||||
|
||||
Use cases show what persistent memory makes possible in real products and workflows. Some examples are packaged in this repository; others point to external demos or integrations you can study and adapt.
|
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Use cases show what persistent memory makes possible in real products and
|
||||
workflows. Some examples are packaged in this repository; others point to
|
||||
external demos or integrations you can study and adapt.
|
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|
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<table>
|
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<tr>
|
||||
@ -217,7 +356,7 @@ Use cases show what persistent memory makes possible in real products and workfl
|
||||
|
||||
[](https://evermind.ai/usecase_reunite)
|
||||
|
||||
#### Reunite - Find with EverOS
|
||||
#### Reunite - Find With EverOS
|
||||
|
||||
Parents describe what they remember. Children describe what they recall. Reunite uses semantic memory to surface the connections.
|
||||
|
||||
@ -230,7 +369,7 @@ Parents describe what they remember. Children describe what they recall. Reunite
|
||||
|
||||
#### Hive Orchestrator
|
||||
|
||||
Browser-native hive-mind for CLI coding agents — Claude Code, Codex, Gemini, and OpenCode collaborate as real PTY processes via a team protocol.
|
||||
Browser-native hive-mind for CLI coding agents - Claude Code, Codex, Gemini, and OpenCode collaborate as real PTY processes via a team protocol.
|
||||
|
||||
[Code](https://github.com/tt-a1i/hive)
|
||||
|
||||
@ -242,7 +381,7 @@ Browser-native hive-mind for CLI coding agents — Claude Code, Codex, Gemini, a
|
||||
|
||||
[](https://github.com/tt-a1i/evermemos-mcp)
|
||||
|
||||
#### AI Coding Assistants with EverOS
|
||||
#### AI Coding Assistants With EverOS
|
||||
|
||||
Universal long-term memory layer for AI coding assistants, powered by EverOS.
|
||||
|
||||
@ -253,9 +392,9 @@ Universal long-term memory layer for AI coding assistants, powered by EverOS.
|
||||
|
||||
[](https://github.com/yuansui123/AI-Data-Technician-EverMemOS)
|
||||
|
||||
#### AI Data Techician
|
||||
#### AI Data Technician
|
||||
|
||||
An agentic AI system that learns from scientist interaction to inspect, analyze, and classify high-dimensional time series data — with persistent memory that improves across sessions.
|
||||
An agentic AI system that learns from scientist interaction to inspect, analyze, and classify high-dimensional time series data - with persistent memory that improves across sessions.
|
||||
|
||||
[Code](https://github.com/yuansui123/AI-Data-Technician-EverMemOS)
|
||||
|
||||
@ -267,7 +406,7 @@ An agentic AI system that learns from scientist interaction to inspect, analyze,
|
||||
|
||||
|
||||
|
||||
#### Rokid AI Assistant with EverOS
|
||||
#### Rokid AI Assistant With EverOS
|
||||
|
||||
Connect to EverOS within Rokid Glasses enabling long-term memory for all of your smart activities.
|
||||
|
||||
@ -278,15 +417,21 @@ Coming soon
|
||||
|
||||
|
||||
|
||||
#### Creative Assistant with Memory
|
||||
#### Creative Assistant With Memory
|
||||
|
||||
Creative assistant with long-term memory, never forget your crativites anymore.
|
||||
Creative assistant with long-term memory, so your creative context stays available across sessions.
|
||||
|
||||
Coming soon
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td colspan="2" align="right">
|
||||
<a href="#readme-top"><img src="https://img.shields.io/badge/-Back_to_top-gray?style=flat-square" alt="Back to top"></a>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
@ -329,7 +474,7 @@ Record, visualize, and explore your tasting journey through an immersive 3D star
|
||||
|
||||
#### EverOS Open Her
|
||||
|
||||
Build AI that feels. Open-source persona engine — personality emerges from neural drives, not prompts. Inspired by Her.
|
||||
Build AI that feels. Open-source persona engine - personality emerges from neural drives, not prompts. Inspired by Her.
|
||||
|
||||
[Code](https://github.com/kellyvv/OpenHer)
|
||||
|
||||
@ -341,7 +486,7 @@ Build AI that feels. Open-source persona engine — personality emerges from neu
|
||||
|
||||
[](https://chromewebstore.google.com/detail/ruminer-browser-agent/lbccjohfpdpimbhpckljimgolndfmfif)
|
||||
|
||||
#### Browser Agent for Personal Memory
|
||||
#### Browser Agent For Personal Memory
|
||||
|
||||
Ruminer brings persistent memory to a browser agent so it can carry personal context across web tasks.
|
||||
|
||||
@ -352,7 +497,7 @@ Ruminer brings persistent memory to a browser agent so it can carry personal con
|
||||
|
||||
[](https://github.com/nanxingw/EverMem)
|
||||
|
||||
#### EverMem Sync with EverOS
|
||||
#### EverMem Sync With EverOS
|
||||
|
||||
One command to connect any AI coding CLI to EverMemOS long-term memory.
|
||||
|
||||
@ -361,6 +506,12 @@ One command to connect any AI coding CLI to EverMemOS long-term memory.
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td colspan="2" align="right">
|
||||
<a href="#readme-top"><img src="https://img.shields.io/badge/-Back_to_top-gray?style=flat-square" alt="Back to top"></a>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
|
||||
@ -377,7 +528,7 @@ MCO equips your primary agent with an agent team that can work together to solve
|
||||
|
||||
[](https://github.com/onenewborn/StudyBuddy-public)
|
||||
|
||||
#### Study Buddy with Self-Evolving Memory
|
||||
#### Study Buddy With Self-Evolving Memory
|
||||
|
||||
Study proactively with an agent that has self-evolving memory.
|
||||
|
||||
@ -391,7 +542,7 @@ Study proactively with an agent that has self-evolving memory.
|
||||
|
||||
[](https://github.com/TonyLiangDesign/MemoCare)
|
||||
|
||||
#### Alzheimer’s Memory Assistant
|
||||
#### Alzheimer's Memory Assistant
|
||||
|
||||
Empowering individuals with advanced memory support and daily assistance.
|
||||
|
||||
@ -427,12 +578,18 @@ An iOS app where users create, nurture, and live with a personalized AI companio
|
||||
|
||||
[](https://github.com/JaMesLiMers/EvermemCompetition-Spiro)
|
||||
|
||||
#### AI Wearable with Memory
|
||||
#### AI Wearable With Memory
|
||||
|
||||
A context-native AI wearable that listens to everyday life and converts conversations into memory.
|
||||
|
||||
[Code](https://github.com/JaMesLiMers/EvermemCompetition-Spiro)
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td colspan="2" align="right">
|
||||
<a href="#readme-top"><img src="https://img.shields.io/badge/-Back_to_top-gray?style=flat-square" alt="Back to top"></a>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
@ -451,7 +608,7 @@ Archived pre-1.0.0 plugin reference. New integrations should use the EverOS 1.0.
|
||||
|
||||
[](https://github.com/TEN-framework/ten-framework/tree/04cb80601374fa9e35b4e544b2dbd23286ca7763/ai_agents/agents/examples/voice-assistant-with-EverMemOS)
|
||||
|
||||
#### Live2D Character with Memory
|
||||
#### Live2D Character With Memory
|
||||
|
||||
Add long-term memory to a real-time Live2D character, powered by [TEN Framework](https://github.com/TEN-framework/ten-framework).
|
||||
|
||||
@ -464,7 +621,7 @@ Add long-term memory to a real-time Live2D character, powered by [TEN Framework]
|
||||
|
||||
[](https://screenshot-analysis-vercel.vercel.app/)
|
||||
|
||||
#### Computer-Use with Memory
|
||||
#### Computer-Use With Memory
|
||||
|
||||
Run screenshot-based analysis with computer-use and store the results in memory.
|
||||
|
||||
@ -475,7 +632,7 @@ Run screenshot-based analysis with computer-use and store the results in memory.
|
||||
|
||||
[](use-cases/game-of-throne-demo)
|
||||
|
||||
#### Game of Thrones Memories
|
||||
#### Game Of Thrones Memories
|
||||
|
||||
A demonstration of AI memory infrastructure through an interactive Q&A experience with *A Game of Thrones*.
|
||||
|
||||
@ -518,10 +675,14 @@ Explore stored entities and relationships in a graph interface. Frontend demo; b
|
||||
|
||||
## Stay Tuned
|
||||
|
||||
Star the repo or join the community links above to follow new architecture methods, benchmark releases, and memory-enabled use cases.
|
||||
Star the repo or join the community links above to follow new architecture methods, benchmark releases, memory-enabled use cases, Wiki-style memory, and Dreaming updates.
|
||||
|
||||
|
||||
|
||||
### Star History
|
||||
|
||||
[](https://www.star-history.com/#EverMind-AI/EverOS&Date)
|
||||
|
||||
<br>
|
||||
<div align="right">
|
||||
|
||||
@ -529,6 +690,55 @@ Star the repo or join the community links above to follow new architecture metho
|
||||
|
||||
</div>
|
||||
|
||||
## EverMind Ecosystems
|
||||
|
||||
EverMind is an open-source ecosystem for long-term memory, self-evolving agents, and memory evaluation. EverOS is the core runtime architecture; EverMemOS is the paper and research line carrying our strongest memory-system benchmark runs; EverAlgo supplies the next-generation algorithms that make the system modular and reusable.
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th colspan="2">EverMind Open-Source Ecosystem</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Core Memory Architecture</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/EverOS">EverOS</a> / EverMemOS - the local memory operating system and research-backed runtime for agent and user memory.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Algorithm Engine</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/EverAlgo">EverAlgo</a> - stateless extraction, ranking, parsing, and memory operators that power EverOS.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Alternative Architecture</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/HyperMem">HyperMem</a> - hypergraph memory for long-term conversations, with its own benchmark-backed topic -> episode -> fact retrieval method.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Benchmarks</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/EverMemBench">EverMemBench</a> · <a href="https://github.com/EverMind-AI/EvoAgentBench">EvoAgentBench</a> - evaluation suites for conversational memory and agent self-evolution.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Long-Context Research</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/MSA">MSA</a> - Memory Sparse Attention for scalable latent memory and 100M-token contexts.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Personal Memory Layer</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/EverMe">EverMe</a> - CLI and agent plugin suite for cross-device, cross-agent personal memory.</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Developer Integrations</strong></td>
|
||||
<td><a href="https://github.com/EverMind-AI/evermem-claude-code">evermem-claude-code</a> · <a href="https://github.com/EverMind-AI/everos-plugins">everos-plugins</a> - plugins, skills, and migration tooling for AI coding agents.</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
Together, these repositories form EverMind's research-to-runtime stack: new memory methods, reusable algorithms, benchmark evidence, and practical agent integrations.
|
||||
|
||||
<br>
|
||||
<div align="right">
|
||||
|
||||
[](#readme-top)
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
## Contributing
|
||||
|
||||
Contributions are welcome across the whole repository: architecture methods, benchmark coverage, use-case examples, documentation, and bug fixes. Browse [Issues](https://github.com/EverMind-AI/EverOS/issues) to find a good entry point, then open a PR when you are ready.
|
||||
|
||||
Reference in New Issue
Block a user